Mean May Soil Temperature (South Island)

2767
14
Added
14 Jun 2013

This dataset was first added to LRIS Portal on 14 Jun 2013.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research)3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48340
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48336
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30cm. Multiple regression used site characteritics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48345
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48343
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Mean June Soil Temperature (South Island)

2546
26
Added
14 Jun 2013

This dataset was first added to LRIS Portal on 14 Jun 2013.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48341
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

ArcGIS layer file for Soil temperature

1856
418
Added
17 Jun 2013

This item was first added to LRIS Portal on 17 Jun 2013

ArcGIS layer file for symbolizing of soil temperature GRIDs. User may need to reconnect to "value" attribute in GRID to get correct display.

Document ID9365
File namearcgis-layer-file-for-soil-temperature.lyr
TypeLYR
Size78.3 KB

FSL Soil Temperature Classification - ArcGIS layer file

1803
387
Added
28 Nov 2011

This item was first added to LRIS Portal on 28 Nov 2011

Document ID9227
File namefsl-soil-temperature-classification-arcgis-layer-file.lyr
TypeLYR
Size14.3 KB

GIS EM4 Barringer Lilburne 2000

1632
346
Added
17 Jun 2013

This item was first added to LRIS Portal on 17 Jun 2013

12

Conference paper describing how South Island mean monthly soil temperature surfaces were created using standard geostatistical techniques. These methods help to account for the majority of topographic variability at high spatial resolutions where topographic influences dominate spatial patterns of climate. By using purposefully sampled data we gained useful knowledge about topographic variation in soil temperature, but the data were not well suited to some interpolation methods. Partial thin plate splines produced the most accurate long-term mean monthly and specific month/year soil temperature surfaces, but multiple linear regression also provided a simple and robust method for soil temperature interpolation because the data were not strongly spatially dependent.

Document ID9366
File namegis-em4-barringer-lilburne-2000.pdf
TypePDF
Size295 KB

NZEnvDS_Mean temperature of the warmest quarter v1.0

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

318
3
Added
11 Apr 2022

This dataset was first added to LRIS Portal on 11 Apr 2022.

New Zealand Environmental Data Stack (NZEnvDS) comprises a set of 72 spatial layers for environmental modelling and site characterisation. NZEnvDS includes the layers that informed the Land Environments of New Zealand (LENZ), additional layers generated for LENZ that were never publicly released, and additional layers generated since, all covering mainland New Zealand and surrounding inshore islands. The original/top copy of the dataset is available at (doi.org/10.7931/m6rm-vz40), but the layers are reproduced here for ease of access. See (newzealandecology.org/nzje/3440/) for a publication describing NZEnvDS. Calculated using the source monthly LENZ temperature layers for the years 1950–1980 (Leathwick et al. 2002) and the biovars function in the dismo R package (Hijmans et al. 2017).

Please cite the original paper as attribution when using these layers.

Layer ID 107427
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W)

NZEnvDS_Maximum monthly temperature v1.0

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

307
4
Added
09 Apr 2022

This dataset was first added to LRIS Portal on 09 Apr 2022.

New Zealand Environmental Data Stack (NZEnvDS) comprises a set of 72 spatial layers for environmental modelling and site characterisation. NZEnvDS includes the layers that informed the Land Environments of New Zealand (LENZ), additional layers generated for LENZ that were never publicly released, and additional layers generated since, all covering mainland New Zealand and surrounding inshore islands. The original/top copy of the dataset is available at (doi.org/10.7931/m6rm-vz40), but the layers are reproduced here for ease of access. See (newzealandecology.org/nzje/3440/) for a publication describing NZEnvDS. Calculated using the source monthly LENZ temperature layers for the years 1950–1980 (Leathwick et al. 2002) and the biovars function in the dismo R package (Hijmans et al. 2017).

Please cite the original paper as attribution when using these layers.

Layer ID 107396
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W)
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